Abstract
Ion mobility-mass spectrometry (IM-MS) has showed great application potential for lipidomics. However, IM-MS based lipidomics is significantly restricted by the available software for lipid structural identification. Here, we developed a software tool, namely, LipidIMMS Analyzer, to support the accurate identification of lipids in IM-MS. For the first time, the software incorporates a large-scale database covering over 260 000 lipids and four-dimensional structural information for each lipid [i.e. m/z, retention time (RT), collision cross-section (CCS) and MS/MS spectra]. Therefore, multi-dimensional information can be readily integrated to support lipid identifications, and significantly improve the coverage and confidence of identification. Currently, the software supports different IM-MS instruments and data acquisition approaches.
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CITATION STYLE
Zhou, Z., Shen, X., Chen, X., Tu, J., Xiong, X., & Zhu, Z. J. (2019). LipidIMMS Analyzer: Integrating multi-dimensional information to support lipid identification in ion mobility - Mass spectrometry based lipidomics. Bioinformatics, 35(4), 698–700. https://doi.org/10.1093/bioinformatics/bty661
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